Traffic Rule Violation Detection System using Raspberry Pi and ML

Author(s):

Shakib Deshmukh , Jayawantrao Sawant College of Engineering,Pune; Hrishikesh Atole, Jayawantrao Sawant College of Engineering,Pune; Amit Rangwal, Jayawantrao Sawant College of Engineering,Pune; Balaji Kokil, Jayawantrao Sawant College of Engineering,Pune; Shipra Saraswat, Jayawantrao Sawant College of Engineering,Pune

Keywords:

CNN, ML, Wi-fi, YOLO, KNN

Abstract:

Traffic Rule Violations are leading cause of accidents, According to WHO India is a leading country in casualties occurring on road. The current system uses human interaction for rule violation detection, as it is a manual process it has some limitations, on multiple occasions we find the system gets corrupt. An alternative solution would be AI-developed System. With our system, we can detect multiple rule violations, for example, Vehicle crossing signal during red light or driving without a helmet, etc. Basic idea is to detect these violations through preinstalled cameras. We can do it by ML based algorithm where we can detect the violators by Image-Processing, getting the number plate, categorizing violation accordingly and issuing fine. Which will help increase the efficiency of traffic rule enforcement.

Other Details:

Manuscript Id	:	IJSTEV6I6002
Published in	:	Volume : 6, Issue : 6
Publication Date	:	01/01/2020
Page(s)	:	7-12

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